You're reading from The GitHub Copilot Handbook A practical guide to transforming the software development life cycle with GitHub Copilot

Product type Paperback

Published in Nov 2025

Publisher Packt

ISBN-13 9781806116638

Length 290 pages

Edition 1st Edition

Tools

CoPilot

Concepts

Web Design

Authors (2):

Rob Bos

Randy Pagels

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Table of Contents (18) Chapters

Preface

1. What is GitHub Copilot?

2. GitHub Copilot Explained FREE CHAPTER

3. Getting Started with Generative AI

4. Choosing the Right GitHub Copilot Plan

5. Getting Started with GitHub Copilot

6. Mastering GitHub Copilot in Your IDE: Inline Suggestions, Chat, and Agent Mode

7. Going Beyond Code: Debugging, Terminal, and Collaboration with GitHub Copilot

8. Exploring GitHub Copilot Integrations

9. Collaborating with Copilot on GitHub.com: Issues, PRs, Reviews, and Coding Agent

10. Extending GitHub Copilot with the Model Context Protocol (MCP)

11. Getting the Most Out of GitHub Copilot

12. Navigating the GitHub Copilot Learning Curve

13. Building an Internal GitHub Copilot Community

14. Changing the Narrative: Reframing Engineering with AI

15. Unlock Your Exclusive Benefits

Unlock this Book’s Free Benefits in 3 Easy Steps

16. Other Books You May Enjoy

17. Index

Exploring GitHub Copilot Integrations

Outside of all the features integrated in the editor, there are a lot of extension points with other systems as well. GitHub shows its industry strengths with its platform, which handles all different software development lifecycle steps in a single integrated platform, layering GitHub Copilot functionality on top of it: you can start a conversation with the AI right from github.com, create an issue with all the context you need to define the changes that you want to have implemented, and then hand that off to the Coding Agent to create the pull request and changes for you. Even better: for incoming PRs, GitHub Copilot can already do the first PR review for you!

As well as those features integrated into the web interface, we also take a deep look at how the Model Context Protocol (MCP) is revolutionizing the integration with other systems to bring even more context into your AI experience. From adding requirements from an external system ...